spinifex (version 0.3.2)

basis_olda: The basis of Orthogonal Linear Discriminant Analysis (OLDA)

Description

Orthogonal LDA (OLDA) is an extension of classical LDA where the discriminant vectors are orthogonal to each other.

Usage

basis_olda(data, class, d = 2)

Arguments

data

Numeric matrix or data.frame of the observations, coerced to matrix.

class

The class for each observation, coerced to a factor.

d

Number of dimensions in the projection space.

Value

A numeric matrix, an orthogonal basis that best distinguishes the group means of class.

References

Ye J (2005). "Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems." J. Mach. Learn. Res., 6, 483-502. ISSN 1532-4435.

See Also

Rdimtools::do.olda

Other basis producing functions: basis_guided(), basis_half_circle(), basis_odp(), basis_onpp(), basis_pca()

Examples

# NOT RUN {
dat_std <- scale_sd(wine[, 2:6])
clas <- wine$Type
basis_olda(data = dat_std, class = clas)
# }